Struct probability::prelude::Gamma

pub struct Gamma {
    // some fields omitted
}

A gamma distribution.

Methods

impl Gamma

fn new(k: f64, theta: f64) -> Self

Create a gamma distribution with shape parameter k and scale parameter theta.

It should hold that k > 0 and theta > 0.

fn k(&self) -> f64

Return the shape parameter.

fn theta(&self) -> f64

Return the scale parameter.

Trait Implementations

impl Copy for Gamma

impl Clone for Gamma

fn clone(&self) -> Gamma

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Continuous for Gamma

fn density(&self, x: f64) -> f64

Compute the probability density function.

impl Distribution for Gamma

type Value = f64

The type of outcomes.

fn distribution(&self, x: f64) -> f64

Compute the cumulative distribution function.

impl Entropy for Gamma

fn entropy(&self) -> f64

Compute the differential entropy.

impl Kurtosis for Gamma

fn kurtosis(&self) -> f64

Compute the excess kurtosis.

impl Mean for Gamma

fn mean(&self) -> f64

Compute the expected value.

impl Modes for Gamma

fn modes(&self) -> Vec<f64>

Compute the modes.

impl Sample for Gamma

fn sample<S>(&self, source: &mut S) -> f64 where S: Source

Draw a sample.

References

1. G. Marsaglia and W. W. Tsang, “A simple method for generating gamma variables,” ACM Transactions on Mathematical Software, vol. 26, no. 3, pp. 363–372, September 2000.

impl Skewness for Gamma

fn skewness(&self) -> f64

Compute the skewness.

impl Variance for Gamma

fn variance(&self) -> f64

Compute the variance.

fn deviation(&self) -> f64

Compute the standard deviation.